YData Profiling Report

Brought to you by YData

Dataset statistics

Number of variables	13
Number of observations	40541
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	19.4 MiB
Average record size in memory	501.5 B

Variable types

Text	6
Numeric	6
DateTime	1

Alerts

`latitude` is highly overall correlated with `temperature_celsius`	High correlation
`temperature_celsius` is highly overall correlated with `latitude`	High correlation
`precip_mm` is highly skewed (γ1 = 21.67108377)	Skewed
`precip_mm` has 27994 (69.1%) zeros	Zeros

Reproduction

Analysis started	2025-04-06 20:56:42.993772
Analysis finished	2025-04-06 20:56:46.759335
Duration	3.77 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

country
Text

Distinct	185
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	2.5 MiB

Length

Max length	32
Median length	24
Mean length	8.6122197
Min length	4

Characters and Unicode

Total characters	349148
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Afghanistan
2nd row	Albania
3rd row	Algeria
4th row	Andorra
5th row	Angola

Value	Count	Frequency (%)
and	1040	2.1%
islands	832	1.6%
republic	832	1.6%
united	624	1.2%
guinea	624	1.2%
saint	624	1.2%
bulgaria	560	1.1%
indonesia	426	0.8%
south	416	0.8%
of	416	0.8%
Other values (202)	44129	87.3%

Most occurring characters

Value	Count	Frequency (%)
a	55462	15.9%
i	31264	9.0%
n	28268	8.1%
e	23378	6.7%
r	19595	5.6%
o	16472	4.7%
u	13981	4.0%
l	13081	3.7%
t	12908	3.7%
s	12102	3.5%
Other values (42)	122637	35.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	349148	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	55462	15.9%
i	31264	9.0%
n	28268	8.1%
e	23378	6.7%
r	19595	5.6%
o	16472	4.7%
u	13981	4.0%
l	13081	3.7%
t	12908	3.7%
s	12102	3.5%
Other values (42)	122637	35.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	349148	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	55462	15.9%
i	31264	9.0%
n	28268	8.1%
e	23378	6.7%
r	19595	5.6%
o	16472	4.7%
u	13981	4.0%
l	13081	3.7%
t	12908	3.7%
s	12102	3.5%
Other values (42)	122637	35.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	349148	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	55462	15.9%
i	31264	9.0%
n	28268	8.1%
e	23378	6.7%
r	19595	5.6%
o	16472	4.7%
u	13981	4.0%
l	13081	3.7%
t	12908	3.7%
s	12102	3.5%
Other values (42)	122637	35.1%

location_name
Text

Distinct	220
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	2.5 MiB

Length

Max length	19
Median length	15
Mean length	7.6521053
Min length	3

Characters and Unicode

Total characters	310224
Distinct characters	54
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Kabul
2nd row	Tirana
3rd row	Algiers
4th row	Andorra La Vella
5th row	Luanda

Value	Count	Frequency (%)
city	1040	2.2%
port	832	1.8%
san	624	1.3%
saint	416	0.9%
beirut	209	0.4%
tbilisi	209	0.4%
vienna	208	0.4%
baku	208	0.4%
dhaka	208	0.4%
gaborone	208	0.4%
Other values (231)	42422	91.1%

Most occurring characters

Value	Count	Frequency (%)
a	46563	15.0%
o	22382	7.2%
i	21582	7.0%
n	20478	6.6%
r	18849	6.1%
e	17231	5.6%
u	13742	4.4%
s	12501	4.0%
t	12266	4.0%
l	10448	3.4%
Other values (44)	114182	36.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	310224	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	46563	15.0%
o	22382	7.2%
i	21582	7.0%
n	20478	6.6%
r	18849	6.1%
e	17231	5.6%
u	13742	4.4%
s	12501	4.0%
t	12266	4.0%
l	10448	3.4%
Other values (44)	114182	36.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	310224	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	46563	15.0%
o	22382	7.2%
i	21582	7.0%
n	20478	6.6%
r	18849	6.1%
e	17231	5.6%
u	13742	4.4%
s	12501	4.0%
t	12266	4.0%
l	10448	3.4%
Other values (44)	114182	36.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	310224	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	46563	15.0%
o	22382	7.2%
i	21582	7.0%
n	20478	6.6%
r	18849	6.1%
e	17231	5.6%
u	13742	4.4%
s	12501	4.0%
t	12266	4.0%
l	10448	3.4%
Other values (44)	114182	36.8%

latitude
Real number (ℝ)

High correlation

Distinct	216
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.298092

Minimum	-41.3
Maximum	64.1
Zeros	0
Zeros (%)	0.0%
Negative	8909
Negative (%)	22.0%
Memory size	316.9 KiB

Quantile statistics

Minimum	-41.3
5-th percentile	-24.65
Q1	3.75
median	17.25
Q3	41.32
95-th percentile	53.9
Maximum	64.1
Range	105.4
Interquartile range (IQR)	37.57

Descriptive statistics

Standard deviation	24.52135
Coefficient of variation (CV)	1.2706619
Kurtosis	-0.76273504
Mean	19.298092
Median Absolute Deviation (MAD)	20.63
Skewness	-0.30646662
Sum	782363.95
Variance	601.29658
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39.93	416	1.0%
41.9	416	1.0%
12.15	415	1.0%
40.4	414	1.0%
41.73	209	0.5%
33.87	209	0.5%
42	208	0.5%
-25.97	208	0.5%
-22.57	208	0.5%
39.55	208	0.5%
Other values (206)	37630	92.8%

Value	Count	Frequency (%)
-41.3	207	0.5%
-35.28	208	0.5%
-34.86	208	0.5%
-34.59	208	0.5%
-33.45	208	0.5%
-29.32	208	0.5%
-26.32	182	0.4%
-25.97	208	0.5%
-25.75	208	0.5%
-24.65	208	0.5%

Value	Count	Frequency (%)
64.1	25	0.1%
63.83	183	0.5%
60.18	208	0.5%
59.92	208	0.5%
59.43	208	0.5%
59.33	208	0.5%
56.95	208	0.5%
55.75	208	0.5%
55.67	208	0.5%
54.68	208	0.5%

longitude
Real number (ℝ)

Distinct	217
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21.759817

Minimum	-175.2
Maximum	179.22
Zeros	0
Zeros (%)	0.0%
Negative	11252
Negative (%)	27.8%
Memory size	316.9 KiB

Quantile statistics

Minimum	-175.2
5-th percentile	-84.08
Q1	-6.84
median	23.24
Q3	49.88
95-th percentile	147.19
Maximum	179.22
Range	354.42
Interquartile range (IQR)	56.72

Descriptive statistics

Standard deviation	65.682563
Coefficient of variation (CV)	3.0185255
Kurtosis	0.34382658
Mean	21.759817
Median Absolute Deviation (MAD)	28.09
Skewness	0.011654161
Sum	882164.74
Variance	4314.1991
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14.51	416	1.0%
12.45	416	1.0%
-58.17	416	1.0%
44.79	209	0.5%
35.51	209	0.5%
4.89	208	0.5%
19.26	208	0.5%
-6.84	208	0.5%
32.59	208	0.5%
17.08	208	0.5%
Other values (207)	37835	93.3%

Value	Count	Frequency (%)
-175.2	208	0.5%
-171.73	206	0.5%
-123.04	21	0.1%
-120.49	187	0.5%
-99.13	208	0.5%
-90.53	208	0.5%
-89.2	208	0.5%
-88.77	208	0.5%
-87.22	208	0.5%
-86.27	207	0.5%

Value	Count	Frequency (%)
179.22	207	0.5%
178.42	208	0.5%
174.78	207	0.5%
171.38	208	0.5%
169.53	206	0.5%
168.32	208	0.5%
159.95	208	0.5%
158.15	208	0.5%
149.22	208	0.5%
147.19	208	0.5%

last_updated
Date

Distinct	6021
Distinct (%)	14.9%
Missing	0
Missing (%)	0.0%
Memory size	316.9 KiB

Minimum	2023-08-29 02:45:00
Maximum	2024-03-29 05:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

temperature_celsius
Real number (ℝ)

High correlation

Distinct	628
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.193458

Minimum	-41.9
Maximum	45.4
Zeros	359
Zeros (%)	0.9%
Negative	1932
Negative (%)	4.8%
Memory size	316.9 KiB

Quantile statistics

Minimum	-41.9
5-th percentile	0
Q1	12
median	22
Q3	27
95-th percentile	32
Maximum	45.4
Range	87.3
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.71348
Coefficient of variation (CV)	0.55818394
Kurtosis	0.98066486
Mean	19.193458
Median Absolute Deviation (MAD)	7
Skewness	-0.91195662
Sum	778122
Variance	114.77866
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
27	1906	4.7%
26	1800	4.4%
28	1780	4.4%
29	1655	4.1%
25	1616	4.0%
30	1436	3.5%
24	1050	2.6%
31	988	2.4%
23	859	2.1%
14	832	2.1%
Other values (618)	26619	65.7%

Value	Count	Frequency (%)
-41.9	1	< 0.1%
-39.4	1	< 0.1%
-39	1	< 0.1%
-38.3	1	< 0.1%
-38	2	< 0.1%
-37.6	1	< 0.1%
-37	1	< 0.1%
-36	4	< 0.1%
-35.7	1	< 0.1%
-35.6	1	< 0.1%

Value	Count	Frequency (%)
45.4	1	< 0.1%
45	1	< 0.1%
44.9	1	< 0.1%
44.3	1	< 0.1%
44	3	< 0.1%
43.9	1	< 0.1%
43.8	1	< 0.1%
43.6	1	< 0.1%
43.3	1	< 0.1%
43.2	1	< 0.1%

precip_mm
Real number (ℝ)

Skewed Zeros

Distinct	435
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.13340643

Minimum	0
Maximum	39.64
Zeros	27994
Zeros (%)	69.1%
Negative	0
Negative (%)	0.0%
Memory size	316.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.02
95-th percentile	0.77
Maximum	39.64
Range	39.64
Interquartile range (IQR)	0.02

Descriptive statistics

Standard deviation	0.6168834
Coefficient of variation (CV)	4.6240906
Kurtosis	891.5391
Mean	0.13340643
Median Absolute Deviation (MAD)	0
Skewness	21.671084
Sum	5408.43
Variance	0.38054513
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	27994	69.1%
0.01	1925	4.7%
0.02	1026	2.5%
0.03	688	1.7%
0.04	504	1.2%
0.1	439	1.1%
0.05	417	1.0%
0.06	340	0.8%
0.07	324	0.8%
0.08	271	0.7%
Other values (425)	6613	16.3%

Value	Count	Frequency (%)
0	27994	69.1%
0.01	1925	4.7%
0.02	1026	2.5%
0.03	688	1.7%
0.04	504	1.2%
0.05	417	1.0%
0.06	340	0.8%
0.07	324	0.8%
0.08	271	0.7%
0.09	247	0.6%

Value	Count	Frequency (%)
39.64	1	< 0.1%
31	1	< 0.1%
28.7	1	< 0.1%
21.68	1	< 0.1%
19.6	1	< 0.1%
18.63	1	< 0.1%
17.73	1	< 0.1%
17.7	1	< 0.1%
17.69	1	< 0.1%
15.07	1	< 0.1%

humidity
Real number (ℝ)

Distinct	98
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.265805

Minimum	3
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	316.9 KiB

Quantile statistics

Minimum	3
5-th percentile	27
Q1	59
median	75
Q3	87
95-th percentile	97
Maximum	100
Range	97
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	21.085619
Coefficient of variation (CV)	0.30008365
Kurtosis	0.30464366
Mean	70.265805
Median Absolute Deviation (MAD)	13
Skewness	-0.89058337
Sum	2848646
Variance	444.60335
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
94	2519	6.2%
100	1816	4.5%
79	1552	3.8%
89	1431	3.5%
84	1425	3.5%
93	1386	3.4%
75	1234	3.0%
70	1146	2.8%
87	1099	2.7%
88	1072	2.6%
Other values (88)	25861	63.8%

Value	Count	Frequency (%)
3	4	< 0.1%
4	22	0.1%
5	37	0.1%
6	62	0.2%
7	53	0.1%
8	66	0.2%
9	79	0.2%
10	54	0.1%
11	73	0.2%
12	89	0.2%

Value	Count	Frequency (%)
100	1816	4.5%
99	45	0.1%
98	104	0.3%
97	118	0.3%
96	113	0.3%
95	123	0.3%
94	2519	6.2%
93	1386	3.4%
92	225	0.6%
91	155	0.4%

air_quality_PM2.5
Real number (ℝ)

Distinct	2260
Distinct (%)	5.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.23774

Minimum	0.5
Maximum	1558.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	316.9 KiB

Quantile statistics

Minimum	0.5
5-th percentile	0.6
Q1	2.5
median	7.5
Q3	23
95-th percentile	97
Maximum	1558.8
Range	1558.3
Interquartile range (IQR)	20.5

Descriptive statistics

Standard deviation	63.649937
Coefficient of variation (CV)	2.5220142
Kurtosis	104.84917
Mean	25.23774
Median Absolute Deviation (MAD)	6.2
Skewness	8.5194913
Sum	1023163.2
Variance	4051.3145
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.5	1941	4.8%
0.9	479	1.2%
1	478	1.2%
1.1	447	1.1%
0.8	442	1.1%
1.3	430	1.1%
1.5	430	1.1%
0.6	428	1.1%
1.2	427	1.1%
0.7	427	1.1%
Other values (2250)	34612	85.4%

Value	Count	Frequency (%)
0.5	1941	4.8%
0.6	428	1.1%
0.7	427	1.1%
0.8	442	1.1%
0.9	479	1.2%
1	478	1.2%
1.1	447	1.1%
1.2	427	1.1%
1.3	430	1.1%
1.4	424	1.0%

Value	Count	Frequency (%)
1558.8	1	< 0.1%
1329.2	1	< 0.1%
1253.9	1	< 0.1%
1233	1	< 0.1%
1199.1	1	< 0.1%
1179.3	1	< 0.1%
1163.5	1	< 0.1%
1160.2	1	< 0.1%
1146.7	1	< 0.1%
1133	1	< 0.1%

Country_normalized
Text

Distinct	185
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	2.5 MiB

Length

Max length	32
Median length	24
Mean length	8.6022545
Min length	4

Characters and Unicode

Total characters	348744
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	afghanistan
2nd row	albania
3rd row	algeria
4th row	andorra
5th row	angola

Value	Count	Frequency (%)
and	1040	2.1%
islands	832	1.6%
republic	832	1.6%
united	624	1.2%
guinea	624	1.2%
saint	624	1.2%
bulgaria	560	1.1%
indonesia	426	0.8%
south	416	0.8%
of	416	0.8%
Other values (202)	44129	87.3%

Most occurring characters

Value	Count	Frequency (%)
a	58790	16.9%
i	34060	9.8%
n	30552	8.8%
e	25042	7.2%
r	21384	6.1%
s	17998	5.2%
o	16680	4.8%
t	15597	4.5%
u	15437	4.4%
l	15358	4.4%
Other values (17)	97846	28.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	348744	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	58790	16.9%
i	34060	9.8%
n	30552	8.8%
e	25042	7.2%
r	21384	6.1%
s	17998	5.2%
o	16680	4.8%
t	15597	4.5%
u	15437	4.4%
l	15358	4.4%
Other values (17)	97846	28.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	348744	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	58790	16.9%
i	34060	9.8%
n	30552	8.8%
e	25042	7.2%
r	21384	6.1%
s	17998	5.2%
o	16680	4.8%
t	15597	4.5%
u	15437	4.4%
l	15358	4.4%
Other values (17)	97846	28.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	348744	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	58790	16.9%
i	34060	9.8%
n	30552	8.8%
e	25042	7.2%
r	21384	6.1%
s	17998	5.2%
o	16680	4.8%
t	15597	4.5%
u	15437	4.4%
l	15358	4.4%
Other values (17)	97846	28.1%

City_normalized
Text

Distinct	220
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	2.5 MiB

Length

Max length	19
Median length	15
Mean length	7.6014898
Min length	3

Characters and Unicode

Total characters	308172
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	kabul
2nd row	tirana
3rd row	algiers
4th row	andorra la vella
5th row	luanda

Value	Count	Frequency (%)
city	1040	2.2%
port	832	1.8%
san	624	1.3%
saint	416	0.9%
beirut	209	0.4%
tbilisi	209	0.4%
vienna	208	0.4%
baku	208	0.4%
dhaka	208	0.4%
gaborone	208	0.4%
Other values (231)	42422	91.1%

Most occurring characters

Value	Count	Frequency (%)
a	50656	16.4%
o	23214	7.5%
n	22973	7.5%
i	22026	7.1%
r	19934	6.5%
e	17356	5.6%
s	16661	5.4%
t	14361	4.7%
u	13948	4.5%
l	13369	4.3%
Other values (17)	93674	30.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	308172	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	50656	16.4%
o	23214	7.5%
n	22973	7.5%
i	22026	7.1%
r	19934	6.5%
e	17356	5.6%
s	16661	5.4%
t	14361	4.7%
u	13948	4.5%
l	13369	4.3%
Other values (17)	93674	30.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	308172	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	50656	16.4%
o	23214	7.5%
n	22973	7.5%
i	22026	7.1%
r	19934	6.5%
e	17356	5.6%
s	16661	5.4%
t	14361	4.7%
u	13948	4.5%
l	13369	4.3%
Other values (17)	93674	30.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	308172	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	50656	16.4%
o	23214	7.5%
n	22973	7.5%
i	22026	7.1%
r	19934	6.5%
e	17356	5.6%
s	16661	5.4%
t	14361	4.7%
u	13948	4.5%
l	13369	4.3%
Other values (17)	93674	30.4%

city_prefix
Text

Distinct	181
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	121623
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	kab
2nd row	tir
3rd row	alg
4th row	and
5th row	lua

Value	Count	Frequency (%)
san	1248	3.1%
por	1248	3.1%
ban	831	2.0%
bra	624	1.5%
mon	624	1.5%
man	622	1.5%
bei	417	1.0%
bel	416	1.0%
kin	416	1.0%
sai	416	1.0%
Other values (172)	33721	83.1%

Most occurring characters

Value	Count	Frequency (%)
a	19209	15.8%
n	9381	7.7%
o	8003	6.6%
r	7872	6.5%
i	7759	6.4%
s	7743	6.4%
b	7679	6.3%
m	5881	4.8%
l	5756	4.7%
u	5660	4.7%
Other values (17)	36680	30.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	121623	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	19209	15.8%
n	9381	7.7%
o	8003	6.6%
r	7872	6.5%
i	7759	6.4%
s	7743	6.4%
b	7679	6.3%
m	5881	4.8%
l	5756	4.7%
u	5660	4.7%
Other values (17)	36680	30.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	121623	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	19209	15.8%
n	9381	7.7%
o	8003	6.6%
r	7872	6.5%
i	7759	6.4%
s	7743	6.4%
b	7679	6.3%
m	5881	4.8%
l	5756	4.7%
u	5660	4.7%
Other values (17)	36680	30.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	121623	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	19209	15.8%
n	9381	7.7%
o	8003	6.6%
r	7872	6.5%
i	7759	6.4%
s	7743	6.4%
b	7679	6.3%
m	5881	4.8%
l	5756	4.7%
u	5660	4.7%
Other values (17)	36680	30.2%

country_prefix
Text

Distinct	157
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	121623
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	afg
2nd row	alb
3rd row	alg
4th row	and
5th row	ang

Value	Count	Frequency (%)
mal	1040	2.6%
bel	804	2.0%
ind	634	1.6%
tur	624	1.5%
sai	624	1.5%
uni	624	1.5%
mon	622	1.5%
bul	560	1.4%
ira	498	1.2%
slo	464	1.1%
Other values (147)	34047	84.0%

Most occurring characters

Value	Count	Frequency (%)
a	14818	12.2%
i	8631	7.1%
u	8604	7.1%
r	8522	7.0%
n	8366	6.9%
e	8318	6.8%
m	7680	6.3%
s	7269	6.0%
o	6494	5.3%
l	5989	4.9%
Other values (17)	36932	30.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	121623	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	14818	12.2%
i	8631	7.1%
u	8604	7.1%
r	8522	7.0%
n	8366	6.9%
e	8318	6.8%
m	7680	6.3%
s	7269	6.0%
o	6494	5.3%
l	5989	4.9%
Other values (17)	36932	30.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	121623	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	14818	12.2%
i	8631	7.1%
u	8604	7.1%
r	8522	7.0%
n	8366	6.9%
e	8318	6.8%
m	7680	6.3%
s	7269	6.0%
o	6494	5.3%
l	5989	4.9%
Other values (17)	36932	30.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	121623	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	14818	12.2%
i	8631	7.1%
u	8604	7.1%
r	8522	7.0%
n	8366	6.9%
e	8318	6.8%
m	7680	6.3%
s	7269	6.0%
o	6494	5.3%
l	5989	4.9%
Other values (17)	36932	30.4%

	air_quality_PM2.5	humidity	latitude	longitude	precip_mm	temperature_celsius
air_quality_PM2.5	1.000	-0.176	0.055	0.180	-0.282	0.002
humidity	-0.176	1.000	0.094	0.200	0.328	-0.277
latitude	0.055	0.094	1.000	-0.051	-0.113	-0.638
longitude	0.180	0.200	-0.051	1.000	-0.033	-0.229
precip_mm	-0.282	0.328	-0.113	-0.033	1.000	0.033
temperature_celsius	0.002	-0.277	-0.638	-0.229	0.033	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	country	location_name	latitude	longitude	last_updated	temperature_celsius	precip_mm	humidity	air_quality_PM2.5	Country_normalized	City_normalized	city_prefix	country_prefix
0	Afghanistan	Kabul	34.52	69.18	2023-08-29 14:00	28.8	0.0	19	7.9	afghanistan	kabul	kab	afg
1	Albania	Tirana	41.33	19.82	2023-08-29 11:30	27.0	0.0	54	28.2	albania	tirana	tir	alb
2	Algeria	Algiers	36.76	3.05	2023-08-29 10:30	28.0	0.0	30	6.4	algeria	algiers	alg	alg
3	Andorra	Andorra La Vella	42.50	1.52	2023-08-29 11:30	10.2	0.0	51	0.5	andorra	andorra la vella	and	and
4	Angola	Luanda	-8.84	13.23	2023-08-29 10:30	25.0	0.0	69	139.6	angola	luanda	lua	ang
5	Antigua and Barbuda	Saint John's	17.12	-61.85	2023-08-29 05:30	29.0	0.3	79	0.8	antigua and barbuda	saint johns	sai	ant
6	Argentina	Buenos Aires	-34.59	-58.67	2023-08-29 06:30	9.0	0.0	71	2.1	argentina	buenos aires	bue	arg
7	Armenia	Yerevan	40.18	44.51	2023-08-29 13:30	31.0	0.0	26	5.0	armenia	yerevan	yer	arm
8	Australia	Canberra	-35.28	149.22	2023-08-29 19:30	13.0	0.0	62	4.0	australia	canberra	can	aus
9	Austria	Vienna	48.20	16.37	2023-08-29 11:30	16.0	0.0	82	13.1	austria	vienna	vie	aus

	country	location_name	latitude	longitude	last_updated	temperature_celsius	precip_mm	humidity	air_quality_PM2.5	Country_normalized	City_normalized	city_prefix	country_prefix
40531	United Kingdom	London	51.52	-0.11	2024-03-28 16:00	10.0	0.07	82	0.9	united kingdom	london	lon	uni
40532	United States of America	Washington Park	46.60	-120.49	2024-03-28 09:00	3.3	0.00	82	4.5	united states of america	washington park	was	uni
40533	Uruguay	Montevideo	-34.86	-56.17	2024-03-28 13:00	24.0	0.00	54	6.2	uruguay	montevideo	mon	uru
40534	Uzbekistan	Tashkent	41.32	69.25	2024-03-28 21:00	9.0	0.00	81	11.6	uzbekistan	tashkent	tas	uzb
40535	Vanuatu	Port Vila	-17.73	168.32	2024-03-29 03:00	25.0	0.62	100	3.7	vanuatu	port vila	por	van
40536	Venezuela	Caracas	10.50	-66.92	2024-03-28 12:00	28.3	0.00	39	1.9	venezuela	caracas	car	ven
40537	Vietnam	Hanoi	21.03	105.85	2024-03-28 23:00	25.0	0.00	94	78.6	vietnam	hanoi	han	vie
40538	Yemen	Sanaa	15.35	44.21	2024-03-28 19:00	19.6	0.45	51	5.5	yemen	sanaa	san	yem
40539	Zambia	Lusaka	-15.42	28.28	2024-03-28 18:00	25.0	0.00	58	13.0	zambia	lusaka	lus	zam
40540	Zimbabwe	Harare	-17.82	31.04	2024-03-28 18:00	24.4	0.00	45	25.1	zimbabwe	harare	har	zim

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample